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Publications of Azarakhsh Jalalvand

Journal papers

  1. Azarakhsh Jalalvand, Fabian Triefenbach, Kris Demuynck and Jean-Pierre Martens Robust continuous digit recognition using Reservoir Computing COMPUTER SPEECH AND LANGUAGE, pp. (2014)
  2. Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle and Jean-Pierre Martens Noise robust handwritten digit recognition with reservoir computing networks JOURNAL OF MACHINE LEARNING RESEARCH, pp. (2014)
  3. Fabian Triefenbach, Azarakhsh Jalalvand, Kris Demuynck and Jean-Pierre Martens Acoustic modeling with hierarchical reservoirs IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING, pp. (2013)
  4. Behzad Zamani, Ahmad Akbari, Babak Nasersharif and Azarakhsh Jalalvand Optimized discriminative transformations for speech features based on minimum classification error PATTERN RECOGNITION LETTERS, Vol. 32(7), pp. 948-955 (2011)

Conference publications

  1. Azarakhsh Jalalvand, Glenn Van Wallendael and Rik Van de Walle Real-time reservoir computing network-based systems for detection tasks on visual contents IEEE Conference Publishing Service, Proceedings, pp. 146-151 (2015)
  2. Azarakhsh Jalalvand, Kris Demuynck, Wesley De Neve, Rik Van de Walle and Jean-Pierre Martens Design of reservoir computing systems for noise-robust speech and handwriting recognition 28th Conference on Graphics, Patterns and Images ( accepted in the Workshop of Theses and Dissertations (WTD)) Proceedings, pp. 6 (2015)
  3. Poona Bahrebar, Azarakhsh Jalalvand and Dirk Stroobandt Adaptive multicast routing method for 3D mesh-based networks-on-chip Proceedings of the 27th IEEE International System-on-Chip Conference, pp. 70-75 (2014)
  4. Fréderic Godin, Baptist Vandersmissen, Azarakhsh Jalalvand, Wesley De Neve and Rik Van de Walle Alleviating manual feature engineering for part-of-speech tagging of Twitter microposts using distributed word representations Workshop on Modern Machine Learning and Natural Language Processing, NIPS 2014Workshop on Modern Machine Learning and Natural Language Processing, Proceedings, pp. 5 (2014)
  5. Azarakhsh Jalalvand, Kris Demuynck and Jean-Pierre Martens Feature enhancement with a reservoir-based denoising auto encoder International Symposium on Signal Processing and Information Technology, Proceedings, pp. 6 (2013)
  6. Fabian Triefenbach, Azarakhsh Jalalvand, Kris Demuynck and Jean-Pierre Martens Context-dependent modeling and speaker normalization applied to reservoir-based phone recognition 14th Annual conference of the International Speech Communication Association, Proceedings, pp. 5 (2013)
  7. Azarakhsh Jalalvand, Kris Demuynck and Jean-Pierre Martens Noise robust continuous digit recognition with reservoir-based acoustic models 2013 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings, pp. 204-209 (2013)
  8. Azarakhsh Jalalvand, Fabian Triefenbach and Jean Martens Continuous digit recognition in noise : reservoirs can do an excellent job! 13th Annual conference of the International Speech Communication Association, Proceedings, pp. 4 (2012)
  9. Azarakhsh Jalalvand, Fabian Triefenbach, David Verstraeten and Jean Martens Connected digit recognition by means of Reservoir Computing Proceedings of the 12th annual conference of the International Speech Communication Association (Interspeech 2011), pp. 1725-1728 (2011)
  10. Behzad Zamani, Ahmad Akbari, Babak Nasersharif and Azarakhsh Jalalvand Discriminative transformations of speech features based on minimum classification error Iranian Conference on Electrical Engineering, pp. 1-5 (2011)
  11. Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen and Jean Martens Phoneme recognition with large hierarchical reservoirs Advances in Neural Information Processing Systems, Vol. 23, pp. 9 (2010)

Other publications

  1. Azarakhsh Jalalvand Design of reservoir computing systems for the recognition of noise corrupted speech and handwriting pp. XXXVIII, 215 (2015)